Course Outline

ASCI 410 : Unmanned Sensing Systems

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Last approved: Fri, 08 Jan 2016 15:56:08 GMT

Last edit: Fri, 08 Jan 2016 15:56:07 GMT

ASCI 410-WW
Campus
Worldwide
College of Aeronautics (WAERO)
ASCI
410
Unmanned Sensing Systems
3
This is the capstone course of the Unmanned Aerial Systems minor, aimed at giving the students direct experience with the planning and effective conduct of complex missions involving the proper use of complex sensing systems on unmanned aircraft. Through guided discussion and team effort, students will address complex mission assignments by determining the proper sensing system to use, assessing alternate courses of action, selecting and / or designing appropriate unmanned aircraft equipped with the sensing system appropriate to the mission and by performing other tasks as required to achieve mission success.

Unmanned aircraft contain a variety of sensor packages to meet the goals of their specific mission. The devices may include a variety of high resolution video cameras suited for day and night operations, a variety of high resolution infra-red cameras and sensors, audio detectors, and a variety of radar applications suitable for a number of different missions and applications (single-aperture radar, synthetic aperture radar, and low frequency radar to name a few). This course will provide an overview of the different types of camera, video, and sensor technology available today as well as an overview of potential future technologies, and identify how each of these devices is used to execute specific missions, fit a desired result, how the equipment is acquired, the limitations and restrictions to their use, and how to correctly analyze and interpret the data received. This is also a required course for students desiring a Minor in Unmanned Aircraft Technology.

Upon course completion, the student will be able to:

1. Compare and contrast the various types of UAS platforms, technologies and missions each platform is used for.

2. Identify the different types of sensor equipment that is currently available and correlate the various types of sensors that are appropriate for various missions.

3. Differentiate among the specific sensor capabilities used for various missions.

4. Explain the criteria unique to each specific sensing application.

5. Discuss platform requirements to accomplish a specific mission with mission goals and parameters.

6. Evaluate future capability requirements based on needs and gaps in current sensor capabilities.

7. Compare and contrast the relationships between the various sensors and sensor capabilities and interpretation of the data provided by those sensors.

8. Demonstrate appropriate selection and application of a research method and statistical analysis (where required), specific to the course subject matter.

Located on the Daytona Beach Campus, the Jack R. Hunt Library is the primary library for all students of the Worldwide Campus. The Chief Academic Officer strongly recommends that every faculty member, where appropriate, require all students in his or her classes to access the Hunt Library or a comparable college-level local library for research. The results of this research can be used for class projects such as research papers, group discussion, or individual presentations. Students should feel comfortable with using the resources of the library. 


Web & Chat: http://huntlibrary.erau.edu
Email:  library@erau.edu
Text: (386) 968-8843
Library Phone:  (386) 226-7656 or (800) 678-9428
Hourshttp://huntlibrary.erau.edu/about/hours.html
 

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Written assignments must be formatted in accordance with the current edition of the Publication Manual of the American Psychological Association (APA) unless otherwise instructed in individual assignments.

ActivityPercent of Grade
Input Grading Item100

Undergraduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
60 - 69% D
0 - 60% F

Graduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
0 - 69% F
Dr. Andrew Shepherd - 3/1/2015
sheph746@erau.edu
Stefan Kleinke - 3/1/2015
kleinkes@erau.edu
Dr. Dennis Vincenzi - 3/1/2015
dennis.vincenzi@erau.edu
Dr. Kenneth Witcher - 3/1/2015
kenneth.witcher@erau.edu
Key: 49